基于压缩感知的扩展OMP稀疏无感知高概率DOA估计

N. L, P. Kumar
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引用次数: 0

摘要

距离、速度和角度是雷达应用中需要估计的三个关键参数。天线阵信号的到达方向估计是天线阵信号处理中的主要问题之一。高分辨率MUSIC算法的一个主要缺点是,它需要关于传入目标数量的先验信息才能正常工作。本文通过使用OMP $\alpha$解决了这个问题,其中$\alpha\in\boldsymbol{[0,1]}$称为扩展正交匹配追踪算法,该算法运行OMP $[p+\alpha p]$迭代而不是$p$迭代,OMP $\infty$运行OMP直到残差消失。结果表明,这些方法比现有的传统方法(如音乐)具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sparsity-unaware High Probability DOA Estimation using Compressive Sensing based Extended OMP
Range, velocity, and angle are the three key parameters to estimate in radar applications. Estimating the direction of arrival (DOA) of the incoming signal is one of the main challenges in antenna array signal processing. One of the major drawback of the high-resolution algorithm MUSIC is that, it requires prior information about the number of incoming targets to work properly. This issue is addressed in this paper by employing an OMP $\alpha$ where $\alpha\in\boldsymbol{[0,1]}$ called extended orthogonal matching pursuit algorithm, which runs OMP $[p+\alpha p]$ iterations instead of $p$ iterations and OMP $\infty$ which runs OMP until the residual is vanished. Results obtained shows the better performance these methods than the existing traditional methods like music.
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